Suppr超能文献

整合多个计算机建模软件程序,用于表征脑利钠肽三明治 DNA 适体复合物。

Integration of multiple computer modeling software programs for characterization of a brain natriuretic peptide sandwich DNA aptamer complex.

机构信息

Department of Biotechnology, Nanohmics, Inc, Austin, Texas.

出版信息

J Mol Recognit. 2019 Dec;32(12):e2809. doi: 10.1002/jmr.2809. Epub 2019 Aug 16.

Abstract

Several molecular modeling programs including Pep-Fold 3, Vienna RNA, RNA Composer, Avogadro, PatchDock, RasMol, and VMD were used to define the three-dimensional and basic binding characteristics of an extant sandwich DNA aptamer assay complex for human brain natriuretic peptide (BNP). In particular, the theoretical question of demonstrating likely binding of 72 base capture and reporter aptamers to at least two separate "epitopes" or binding sites on the small 32-amino acid BNP target was addressed, and the data support the existence of separate aptamer binding sites on BNP. The binding model was based on first docking BNP to the capture aptamer based on shape complementarity with PatchDock, followed by docking the capture aptamer-BNP complex with the reporter aptamer in PatchDock. Although, shape complementarity clearly dominated this binding model and aptamers are known to be somewhat flexible, the model demonstrates hydrogen bond stabilization within each of the two different aptamers and between the aptamers and the BNP target, thus suggesting a strong binding and high affinity sandwich assay that matches the author's former published assay results (Bruno et al., Microchem. J. 2014;115:32-38) with subpicogram per milliliter sensitivity and good specificity. Other aspects such as capture and reporter aptamer interactions in the absence of BNP are illustrated and suggest means for potentially improving the existing assay by truncating the capture and reporter aptamers where they overlap to further decrease background signal levels.

摘要

使用了包括 Pep-Fold 3、Vienna RNA、RNA Composer、Avogadro、PatchDock、RasMol 和 VMD 在内的几种分子建模程序,以定义用于检测人脑利钠肽(BNP)的现存三明治 DNA 适体测定复合物的三维和基本结合特征。特别是,该理论问题旨在证明 72 个碱基的捕获和报告适体与 BNP 这一小的 32 个氨基酸靶标上至少两个独立的“表位”或结合位点的可能结合,并且数据支持 BNP 上存在独立的适体结合位点。该结合模型基于首先使用 PatchDock 根据形状互补性对接 BNP 到捕获适体,然后在 PatchDock 中对接捕获适体-BNP 复合物与报告适体。尽管形状互补性显然主导了这种结合模型,并且已知适体具有一定的灵活性,但该模型在每个不同的适体内部以及适体与 BNP 靶标之间都展示了氢键的稳定作用,从而表明存在具有强结合和高亲和力的三明治测定法,与作者之前发表的测定结果(Bruno 等人,Microchem. J. 2014;115:32-38)相匹配,具有亚皮克每毫升的灵敏度和良好的特异性。其他方面,例如在不存在 BNP 的情况下捕获和报告适体的相互作用也进行了说明,并提出了通过在捕获和报告适体重叠的地方截断适体以进一步降低背景信号水平的方法来潜在改进现有测定法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2213/6821572/ec6c459ece64/nihms-1042788-f0001.jpg

相似文献

本文引用的文献

1
Aptamers in the Therapeutics and Diagnostics Pipelines.适体在治疗和诊断中的应用
Theranostics. 2018 Jul 1;8(15):4016-4032. doi: 10.7150/thno.25958. eCollection 2018.
8
Automated 3D structure composition for large RNAs.自动化 3D 大型 RNA 结构构建。
Nucleic Acids Res. 2012 Aug;40(14):e112. doi: 10.1093/nar/gks339. Epub 2012 Apr 26.
9
ViennaRNA Package 2.0.维也纳RNA软件包2.0
Algorithms Mol Biol. 2011 Nov 24;6:26. doi: 10.1186/1748-7188-6-26.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验